• Product
  • Design System
  • Full case study
  • 2025

ResXiv

A unified research workspace enabling researchers to find, read, understand, organize, and write papers in one place.

Timeline

Sep 2025 – Present

Team

2 Co-Founders

Role

Co-Founder, Product Designer, Design Engineer

Skills

Product Strategy, User Research, UX Design, Frontend Development

Long story short

I co-founded an AI-native research workspace bootstrapped to 300 MAU and 350+ organic signups

On a two-person founding team, I led product strategy, UX, and frontend development—from a 97-researcher user study through MVP launch.

01

Product

Owned end-to-end UX for discovery, reading, workspace organization, and drafting.

02

Research

Led a 97-researcher study across interviews, surveys, and focus groups.

03

Engineering

Shipped the MVP frontend and design system, shortening design-to-code loops.

How might we help researchers discover, understand, and write papers without losing context?

Research ecosystem is flawed

Fragmented tools

Work happens across tabs and context gets lost.

Outdated writing software

No technical innovation since the 1980s in research drafting methods.

AI poisoning

AI skyrocketed research output, making relevant research harder to find.

Costly ecosystem

Researchers pay at every step, trapped in a costly loop.

User study

97 researchers

Interviews, surveys & focus groups

  • No platform supports the entire research journey.
  • Fragmented tools lead to fragmented research.
  • No collaborative domain-specific research workspace.

User quotes

I spend weeks reading papers, but by the end, I lose track of how they connect. There's just too much to process and I struggle to see the bigger picture.
Arsh VermaMSCarnegie Mellon University
The hardest part is giving structure to research. Tools help me write, not think. What I need is a system that connects the dots for me.
Gautam KashyapPhDMacquarie University

Researchers are stuck with

Tools that do not support the iterative nature of research

Unreliable AI tools that lack proof-backed results

Tools that offer outdated research capabilities

Tools that fail to support collaborative work

The Problem

The Problem

No tool builds research intuition

Nothing that connects topics, ideas, and relationships.

Linear workflows kill collaboration

Existing research tools are not built for iterative research teamwork.

As a result

  • Lost insights
  • Stalled progress
  • Inhibited intuition
  • Information overload
  • Closed research
Researchers don't need another AI summarizer. They need a system that preserves research context throughout the entire workflow.

Competitive landscape

Researchers juggle a dozen tools across discovery, reading, writing, and reference management. ResXiv consolidates that workflow into one workspace.

Convert multiple tabs into one unified research workspace

How ResXiv stands out

CompetitorSustains entire research cycleNo-code draftingProof-backedDesigned for academia
ResXiv
Scispace
Paperpal
Anara
AnswerThis
Undermind
Paperguide
Overleaf
NotebookLM

With ResXiv

  • Reduce literature-review time from 40 hours → 12 hours
  • Screen 3× faster with AI-prioritized rankings
  • Maintain >90% recall of must-have research-specific information
AI-assisted analysis with source-grounded paper context

Discover, filter, and organise information in your domain effortlessly.

Import past research, get proof-backed guidance, and plan your next steps with ease.

Read, take notes, resolve doubts, and collaborate in real time.

Export findings and save your progress for future research.

Early adoption trends

25+ global universities · 15+ top organisations

350+ signups

Organic signups

Beta launched 24 Oct 2025

Signups from Harvard, Yale, Cornell, CMU, Meta, Microsoft, Adobe, and more
  • Testers from top universities including the CVPR 2026 Program Chair
  • Interest from BITS Pilani, IIT Surat, Proximity.tech, and IIIT Hyderabad for design partnership
  • Adoption interest from Lossfunk, one of the most innovative AI research groups
Countries covered
12+
AI startups
20+
Research disciplines
10+
Senior professionals
38%

Final Designs

Paper discovery — search with relevance filters
Contextual reading — source-grounded AI assistant
Research workspace — papers, notes, and drafts together

Learnings & Impact

Context over generation

Researchers valued traceable understanding over polished summaries.

Advocate with research

Design decisions landed when tied directly to user study insights.

Ship with a small team

Being designer and engineer collapsed feedback loops—but prioritization was everything.

Ready for next?